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基于数据挖掘的中医妇科流派治疗崩漏的处方用药规律分析 被引量:4

Analysis of Medication Rule of Traditional Chinese Medicine Gynecology Schools in Treating Uterine Bleeding Based on Data Mining
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摘要 目的利用数据挖掘分析各中医妇科流派对崩漏的用药规律。方法收集各妇科流派治疗崩漏的处方,采用频数分析挖掘核心药物,统计药物归经情况,采用关联规则和聚类分析对核心药物使用规律进行挖掘。结果收集处方27个,涉及中药110味。核心药物23味,前5位为白芍、地黄、当归、熟地黄、阿胶,药物主归肝肾脾心经。通过关联规则分析得到28个药物组合,常用的是牡丹皮和地黄。聚类分析得到7个药物聚类组合。结论各中医妇科流派灵活运用多种止血法,治疗崩漏均不忘顾护阴血。 Objective To explore the medication rules of different traditional Chinese medicine(TCM)gynecology schools on uterine bleeding based on data mining.Methods The prescriptions for uterine bleeding in different gynecology schools were collected.Frequency analysis was conducted to find core herbs and meridian tropism of herbs was counted.Association rule analysis and cluster analysis were used to find the medication rules of core herbs.Results A total of 27 prescriptions were included,involving 110 herbs.There were 23 core herbs,which mainly belonged to liver,kidney,spleen and heart meridians.The top five herbs were Paeoniae Radix Alba,Rehmanniae Radix,Angelicae Sinensis Radix,Rehmanniae Radix Praeparata and Asini Corii Colla.28 combinations were obtained by association rule analysis,among which moutan cortex and Rehmanniae Radix were commonly used.7 classifications were obtained by cluster analysis.Conclusion The gynecology schools apply various hemostasis methods flexibly to treat uterine bleeding without forgetting to protect Yin blood.
作者 田海艳 杨益雯 詹娟晓 欧宇阳 王卓雅 赵颖 TIAN Haiyan;YANG Yiwen;ZHAN Juanxiao;OU Yuyang;WANG Zhuoya;ZHAO Ying(Guangzhou University of Chinese Medicine,Guangzhou 510405,China;The First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou 510405,China)
出处 《云南中医学院学报》 2020年第5期85-89,共5页 Journal of Yunnan University of Traditional Chinese Medicine
基金 国家中医药管理局全国中医学术流派传承工作室建设项目(国中医药人教函[2019]62号) 国家中医药管理局全国名老中医药专家传承工作室建设项目(国中医药人教函[2018]134号) 广东省中医药局广东省名老中医药专家传承工作室建设项目(粤中医办函[2017]209号)。
关键词 崩漏 数据挖掘 妇科流派 用药规律 uterine bleeding data mining gynecology school medication rule
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